Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363926262X ISBN 13: 9783639262629
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Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363926262X ISBN 13: 9783639262629
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by VDM Verlag, 2010
ISBN 10: 363926262X ISBN 13: 9783639262629
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363926262X ISBN 13: 9783639262629
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Published by VDM Verlag 2010-06, 2010
ISBN 10: 363926262X ISBN 13: 9783639262629
Seller: Chiron Media, Wallingford, United Kingdom
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Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363926262X ISBN 13: 9783639262629
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Signed Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, a novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algorithm, that reduces the computational cost and complexity while maintaining good performance is presented. Expressions are derived for the steady-state excess-mean-square error (EMSE) of the SRLMF algorithm in a stationary environment. Also, expressions are obtained for the tracking EMSE of the SRLMF algorithm in a non-stationary environment. An optimum value of the step-size is also derived. Moreover, the weighted variance relation has been extended in order to derive expressions for the mean-square error (MSE) and the mean-square deviation (MSD) of the proposed algorithm during the transient phase. Computer simulations are carried out to corroborate the theoretical findings. It is shown that there is a good match between the theoretical and simulated results. It is also shown that the SRLMF algorithm has no performance degradation when compared with the least mean fourth (LMF) algorithm. The results in this study emphasize the usefulness of this algorithm in applications requiring reduced implementation costs for which the LMF algorithm is too complex. 84 pp. Englisch.
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363926262X ISBN 13: 9783639262629
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algorithm, that reduces the computational cost and complexity while maintaining good performance is presented. Expressions are derived for the steady-state excess-mean-square error (EMSE) of the SRLMF algorithm in a stationary environment. Also, expressions are obtained for the tracking EMSE of the SRLMF algorithm in a non-stationary environment. An optimum value of the step-size is also derived. Moreover, the weighted variance relation has been extended in order to derive expressions for the mean-square error (MSE) and the mean-square deviation (MSD) of the proposed algorithm during the transient phase. Computer simulations are carried out to corroborate the theoretical findings. It is shown that there is a good match between the theoretical and simulated results. It is also shown that the SRLMF algorithm has no performance degradation when compared with the least mean fourth (LMF) algorithm. The results in this study emphasize the usefulness of this algorithm in applications requiring reduced implementation costs for which the LMF algorithm is too complex.
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363926262X ISBN 13: 9783639262629
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Faiz Mohammed Mujahid UllaMohammed Mujahid Ulla Faiz received his M.S. degree in electrical engineering from King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2010. Currently, he is a Lecturer in th.
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363926262X ISBN 13: 9783639262629
Seller: Mispah books, Redhill, SURRE, United Kingdom
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